GDL

Journal from gdlhub / 2020-01-09 14:55:43
Oleh : Raid Rafi Al-Nima,Moatasem Yaseen Al-Ridha,Farqad Hamid Abdulraheem, Telkomnika
Dibuat : 2020-01-09, dengan 1 file

Keyword : : face, fusion, MLP neural network, palmprint
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/issue/view/640
Sumber pengambilan dokumen : web

This paper established a relationship between multi-spectral palm images and a face image based

on multiple fusion methods. The first fusion method to be considered is a feature extraction between different

multi-spectral palm images, where multi-spectral CASIA database was used. The second fusion method to

be considered is a score fusion between two parts of an output face image. Our method suggests that both

right and left hands are used, and that each hand aims to produce a significant part of

a face image by using a Multi-Layer Perceptron (MLP) network. This will lead to the second fusion part to

reconstruct the full-face image, in order to examine its appearance. This topology provided interesting results

of Equal Error Rate (EER) equal to 1.99%.

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